Ethics in AI

Learning Outcomes

  • Learn the principles of AI ethics

  • Design and implement ethical guidelines and processes for the development and deployment of AI systems.

  • Learn how to mitigate AI risks by applying AI ethics principles and related appropriate actions.

  • Developing critical thinking and problem-solving skills by applying ethical theories and principles to real-world AI scenarios.

Workshop Outline

  • 5 min Module I: Exploring AI Ethical Issues for Companies
    Attendees discuss news stories that highlight ethical issues related to AI

  • 30 min Module II: Defining a Framework for AI Ethics
    Attendees are given a framework for ethical AI that includes the importance of accountability, privacy, fairness, transparency and explainability, and inclusivity.
    Examples from current news stories are given to illustrate the consequences of not following these principles.
    The session is interactive, and girls are asked questions to examine different situations critically.

  • 10 min Module III: Emerging AI Ethics Guidelines
    Attendees are shown emerging legal guidelines in different countries with examples given for Singapore and the European Commission.